4 papers
A semantic mutation metric for metamorphic relation adequacy in scientific computing programs
Meng Li, Xiaohua Yang, Jie Liu +1
Context. Metamorphic Testing addresses the test-oracle problem in scientific computing, but classical Mutation Score operates on syntactic AST mutations and misses domain semantics…
Domain-Validity-Gated Metamorphic Testing of Scientific ML Surrogates
Meng Li, Xiaohua Yang, Jie Liu +1
Scientific machine-learning (SciML) surrogates approximate expensive simulations, but exact expected outputs for arbitrary inputs are unavailable (the oracle problem). Metamorphic…
Minimum Complete MR Subsets under Semantic-Mutation Fault Models: A Support-Set Domination Boundary
Meng Li, Xiaohua Yang, Jie Liu +1
This paper asks when MR-subset selection is a real mutant-level requirement for minimum complete evidence in metamorphic testing rather than a coarse fault-class counting artifact.…
NOETHER: A Constructive Framework for Metamorphic Pattern Discovery from Operator Algebras
Meng Li, Xiaohua Yang, Jie Liu +1
Context. Metamorphic Testing is recognised in IEEE/ISO software-testing standards and increasingly recommended for AI systems, but its progress is bottlenecked by metamorphic relat…